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BivRegBLS

1.1.1Package record

Tolerance Interval and EIV Regression - Method Comparison Studies

0packages depend
3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Assess the agreement in method comparison studies by tolerance intervals and errors-in-variables (EIV) regressions. The Ordinary Least Square regressions (OLSv and OLSh), the Deming Regression (DR), and the (Correlated)-Bivariate Least Square regressions (BLS and CBLS) can be used with unreplicated or replicated data. The BLS() and CBLS() are the two main functions to estimate a regression line, while XY.plot() and MD.plot() are the two main graphical functions to display, respectively an (X,Y) plot or (M,D) plot with the BLS or CBLS results. Four hyperbolic statistical intervals are provided: the Confidence Interval (CI), the Confidence Bands (CB), the Prediction Interval and the Generalized prediction Interval. Assuming no proportional bias, the (M,D) plot (Band-Altman plot) may be simplified by calculating univariate tolerance intervals (beta-expectation (type I) or beta-gamma content (type II)). Major updates from last version 1.0.0 are: title shortened, include the new functions BLS.fit() and CBLS.fit() as shortcut of the, respectively, functions BLS() and CBLS(). References: B.G. Francq, B. Govaerts (2016) doi:10.1002/sim.6872, B.G. Francq, B. Govaerts (2014) doi:10.1016/j.chemolab.2014.03.006, B.G. Francq, B. Govaerts (2014) http://publications-sfds.fr/index.php/J-SFdS/article/view/262, B.G. Francq (2013), PhD Thesis, UCLouvain, Errors-in-variables regressions to assess equivalence in method comparison studies, https://dial.uclouvain.be/pr/boreal/object/boreal%3A135862/datastream/PDF_01/view.

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
23includes a package overview page
Examples that run
100%23 run in a plain check
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
96%

Downloads

3K
CRAN downloads in the past year
Rank #13,353 · ~8/day · ~246/mo
Daily download trend is not available in this view yet.
28630 days
86890 days
3K1 year
Compare downloads with other packages →
Also on1.7K r2u21 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing BivRegBLS adds 1 package (0 with compiled code, 157 KB of source tarballs). Heaviest: ellipse 157 KB.

Depends (2)
R >= 3.1.0ellipse
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (7)
Maintainer since 1.0.0 (2017), Author
Contributor · added in 1.1.1
Contributor · added in 1.1.1
Contributor · added in 1.1.1
Contributor · added in 1.1.1
Contributor · added in 1.1.1
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • unarchivedReturned to CRAN
    2019-10-11
  • 1.1.1Latest
    record
    2019-10-11 · current release · diff ↗ ·
    added 2 exports
    BLS.fit, CBLS.fit
  • archivedRemoved from CRAN
    2019-05-19
    check problems were not corrected in time
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0.0
    record
    2017-01-06
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-01-06
Total releases
2 / 9 yrs
License
AGPL-3 OSI
Minimum R
≥ 3.1.0
Bundled data
2.9 KB / 2 files
Download size
53 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BivRegBLS")
Francq, B. G., Agut, C., Berger, M., Berges, A., Mathieu, G., Onado, V., & Pellissier, F. (2019). BivRegBLS: Tolerance Interval and EIV Regression - Method Comparison Studies (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.BivRegBLS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BivRegBLS version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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